Gait data from 51 healthy participants with motion capture, inertial measurement units, and computer vision

Author:

Lavikainen JereORCID,Vartiainen PaavoORCID,Stenroth LauriORCID,Karjalainen Pasi A.ORCID,Korhonen Rami K.ORCID,Liukkonen Mimmi K.,Mononen Mika E.

Publisher

Elsevier BV

Reference16 articles.

1. M. Paulich, M. Schepers, N. Rudigkeit and G. Bellusci, “Xsens MTw Awinda: miniature wireless inertial motion tracker for highly accurate 3d kinematic applications,” 2018. [Online]. Available: 10.13140/RG.2.2.23576.49929.

2. J. Lavikainen, P. Vartiainen, L. Stenroth, P. Karjalainen, R. Korhonen, M. Liukkonen and M. Mononen, “Kuopio gait dataset: motion capture, inertial measurement and video-based sagittal-plane keypoint data from walking trials (1.0.0),” 2024. [Online]. Available: https://zenodo.org/records/10559504.

3. OpenPose: realtime multi-person 2D pose estimation using part affinity fields;Cao;IEEE PAMI,2018

4. A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions;Camargo;J. Biomech.,2021

5. Osteoarthritis as a disease of mechanics;Felson;Osteoarthr. Cartilage,2013

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